#!/usr/bin/env python

import cmor
import numpy

def main():

    cmor.setup(inpath='Tables',
               netcdf_file_action = cmor.CMOR_REPLACE)
    cmor.dataset('pre-industrial control', 'mohc', 'HadGEM2: source',
                 '360_day',
                 institute_id = 'ukmo',
                 model_id = 'HadGEM2',
                 history = 'some global history',
                 forcing = 'N/A',
                 parent_experiment_id = 'N/A',
                 branch_time = 0.,
                 contact = 'bob')
 
    table = 'CMIP5_6hrLev'
    cmor.load_table(table)
    axes = [ {'table_entry': 'time1',
              'units': 'days since 2000-01-01 00:00:00',
              },
             {'table_entry': 'latitude',
              'units': 'degrees_north',
              'coord_vals': [0],
              'cell_bounds': [-1, 1]},             
             {'table_entry': 'longitude',
              'units': 'degrees_east',
              'coord_vals': [90],
              'cell_bounds': [89, 91]},
             {'table_entry': 'hybrid_height',
              'coord_vals': [0, 1],
              'cell_bounds': [[0., 0.5], [0.5, 1.]],
              'units': 'm',
              },
             ]

    values = numpy.array([0.,0.], numpy.float32)
    numpy.reshape(values, (2,1,1,1))
    axis_ids = list()
    for axis in axes:
        axis_id = cmor.axis(**axis)
        axis_ids.append(axis_id)

    print 'cmor.axis calls complete'

    cmor.zfactor(axis_ids[3], 'b', '', axis_ids[3:4], 'd', [0., 0.5], [[0., 0.25], [0.25, 1.]])
    cmor.zfactor(axis_ids[3], 'orog', 'm', axis_ids[1:3], 'd', [[0.]]) 
    print 'cmor.zfactor calls complete'
    varid = cmor.variable('ua',
                          'm s-1',
                          axis_ids,
                          missing_value = -99
                          )

    print 'cmor.variable call complete'
    
    cmor.write(varid, values, time_vals = [6.0])

    print 'cmor.write call complete'

    cmor.close()
    
if __name__ == '__main__':

    main()
